Products & Solutions / Scoring Acceleration

SAS® Scoring Accelerator

High-performance model scoring and deployment with faster time to results

Organizations today want answers fast, with automated processes and complete accuracy. Unfortunately, most organizations simply can’t aggregate, analyze and process large volumes of data and analytic models quickly enough to support critical decisions that must be made in hours, minutes or seconds. The problem is further compounded by the presence of redundant data marts used to support analytical processes.

SAS Scoring Accelerator enables customers to translate scoring models created in SAS® Enterprise Miner™ into database-specific functions to be deployed and then executed directly within the database environment. This reduces unnecessary data movement and leverages database scalability for faster deployment of analytic models, which yields more timely information.

Benefits

  • Achieve higher model-scoring performance and faster time to results.
  • Enhance the productivity of your data mining and IT groups.
  • Reduce data movement and latency, and streamline analytic deployment.
  • Better manage, provision and govern data.
  • Make better use of IT resources and reduce costs.

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Features

  • SAS® format library
  • SAS® Enterprise Miner™ Score Export node
  • Register SAS/STAT® linear models to SAS® Model Manager
  • SAS® Scoring Accelerator publishing client
  • Integrated environment for tracking and monitoring model performance over time
  • Support for multiple databases

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How SAS® Is Different

  • Provides timely and accurate insights needed for evidence-based decisions. SAS Scoring Accelerator simplifies and hastens the deployment of predictive models by publishing them as database-specific functions that are executed on all available database resources. You can reduce model scoring time from hours to minutes.
  • Tracks and monitors model performance over time to eliminate model decay. SAS Model Manager, an analytic model management and deployment environment, is fully integrated with SAS Scoring Accelerator to further streamline the registration, validation and scoring of SAS models in the database.
  • Delivers the best solution for successful organizations. SAS has partnered with several vendors to deliver the best analytics, in-database and data warehousing technologies – optimized and integrated for added value. SAS Scoring Accelerator is available for the following databases: Hadoop (Cloudera Distribution), IBM DB2, IBM Netezza, Oracle, Pivotal (previously Greenplum), Teradata Aster, Teradata and the SAS Scalable Performance Data Server.

Benefits

  • Achieve higher model-scoring performance and faster time to results. Using in-database processing, SAS Scoring Accelerator eliminates the need to move data between SAS and the database for scoring purposes, further reducing the cost, complexity and latency of the scoring process. The performance of the entire modeling process is improved, enabling faster predictive results and competitive advantage.
  • Enhance the productivity of your data mining and IT groups. Rather than using manual transformation and scoring steps, SAS Scoring Accelerator allows IT to automate model deployment processes. Faster deployment frees the analytics team to focus on new projects, and organizations incur fewer labor costs by avoiding manual scoring because that reduces the need to revalidate code for scoring purposes.
  • Reduce data movement and latency, and streamline analytic deployment. In-database scoring reduces data movement and replication to streamline analytic processing. This helps organizations deliver analytics quickly while maintaining data reliability and integrity.
  • Better manage, provision and govern data. Reducing data movement and consolidating data in a data warehouse addresses data governance and helps ensure regulatory compliance. The common security, auditing and administration features of the database help ensure that regulated data is accessed properly. In addition, by running model-scoring steps inside the database, programs can be executed in such a way that enables detail data to be summarized and analyzed without crossing the regulatory boundary created in the database.
  • Make better use of IT resources and reduce costs. Proper integration and efficient use of investments in data warehouse platforms, analytic software and processes result in the delivery of consistent, reliable and timely insights to decision makers. Providing operational insights in an efficient manner yields faster time to value at a reduced cost.

Features

SAS® format library
  • File that is deployed once to the database system.
SAS® Enterprise Miner™ Score Export node
  • Automatically included in your SAS Enterprise Miner installation for adding to your process flow diagram analyses. 
  • Exports the model-scoring logic, including metadata about the required input and output variables.
  • Generates sample training and a scoring data set for testing.
  • Register SAS Enterprise Miner models to SAS Model Manager (optional).
Register SAS/STAT® linear models to SAS® Model Manager
  • SAS Model Manager is required to register and publish linear models created using SAS/STAT into SAS Scoring Accelerator.
  • In-database scoring for SAS/STAT is supported for Pivotal (previously Greenplum), DB2, IBM Netezza, Oracle and Teradata.
  • Support is available for a select set of predictive models created using the following procedures: LOGISTIC, GENMOD, REG, GLMSELECT, GLM, GLIMMIX and MIXED.
SAS® Scoring Accelerator publishing client
  • Automatically translates and publishes the model as a scoring function or SAS DS2 program inside the database.
  • Generates a script of database commands for registering the scoring function or SAS DS2 program inside the database.
  • Scoring functions or SAS DS2 programs are available for use in any SQL expression wherever database-specific built-in functions are typically used.
  • Publishes model as protected or unprotected.
  • Supports SAS intrinsic and user-defined formats.
  • Supports a robust class of SAS Enterprise Miner predictive and descriptive models, including the preliminary transformation layer (such as data imputations).
  • Provides variable binning and reduction.
Integrated environment for tracking and monitoring model performance over time
  • Fully integrated with SAS Model Manager (required for SAS/STAT linear models and optional for SAS Enterprise Miner models) to further streamline the registration, validation and scoring of SAS models in the database.
Support for multiple databases
  • Hadoop (Cloudera Distribution).
  • IBM DB2.
  • IBM Netezza.
  • Oracle.
  • Pivotal (previously Greenplum).
  • Teradata Aster (only supports SAS Enterprise Miner models).
  • Teradata Enterprise Data Warehouse.
  • SAS Scalable Performance Data Server.

System Requirements

SAS® Software Required

For SAS® Enterprise Miner™ models:
  • SAS Enterprise Miner
  • SAS/ACCESS® interface
  • SAS Model Manager (optional)
For select SAS/STAT® linear models:
  • SAS/STAT®
  • SAS/ACCESS® interface
  • SAS Model Manager (required)

Databases Supported

  • SAS Scoring Accelerator for Hadoop (Cloudera Distribution)
  • IBM DB2
  • IBM Netezza
  • Oracle
  • Pivotal (previously Greenplum)
  • Teradata Aster (only supports SAS Enterprise Miner models)
  • Teradata
  • SAS Scalable Performance Data Server.


For specific database versions and operating systems support, please refer the System Requirements page. Select the appropriate SAS Release (e.g., SAS 9.4) and Product (select Base SAS). Click on appropriate host (e.g., Microsoft Windows x64) to view system requirements.

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Call us at 1-800-727-0025 (US and Canada) or request more information.